lsadouk1111 commited on
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fd371a7
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1 Parent(s): 73068d9

Update app.py

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Files changed (1) hide show
  1. app.py +51 -7
app.py CHANGED
@@ -33,18 +33,61 @@ support_level: "light" (1-2 steps), "medium" (3-4 steps), "high" (5 steps)"""
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  # ── Icon to emoji ──────────────────────────────────────────────────────────────
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  EMOJI = {
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- "book": "📖", "page": "📄", "pencil": "✏️", "write": "✏️",
 
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  "read": "👁️", "eye": "👁️", "hand": "✋", "finger": "👆",
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- "talk": "🗣️", "listen": "👂", "think": "🧠", "look": "👁️",
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  "draw": "🎨", "paper": "📝", "notebook": "📓", "board": "📋",
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  "number": "🔢", "count": "🔢", "answer": "✅", "sort": "🗂️",
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  "match": "🔗", "circle": "⭕", "plant": "🌱", "seed": "🌰",
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- "water": "💧", "animal": "🐾", "picture": "🖼️", "partner": "👥",
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- "find": "🔍", "search": "🔍", "observe": "🔭", "measure": "📐",
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- "record": "📊", "label": "🏷️", "colour": "🖌️", "color": "🖌️",
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- "cut": "✂️", "touch": "👆", "quiet": "🤫", "ready": "✅",
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- "open": "📂", "put": "📌", "place": "📌", "sit": "🪑",
 
 
 
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  "science": "🔬", "maths": "➕", "english": "📚",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  def get_emoji(icon):
@@ -67,6 +110,7 @@ def generate_step_card(instruction, year, subject):
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  # Load model on first call (inside GPU context)
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  if model is None:
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  from unsloth import FastModel
 
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  model, tokenizer = FastModel.from_pretrained(
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  model_name=MODEL_ID,
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  max_seq_length=512,
 
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  # ── Icon to emoji ──────────────────────────────────────────────────────────────
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  EMOJI = {
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+ # core actions
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+ "book": "📖", "page": "📄", "pencil": "✏️", "write": "✏️", "writing": "✏️",
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  "read": "👁️", "eye": "👁️", "hand": "✋", "finger": "👆",
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+ "talk": "🗣️", "listen": "👂", "think": "🧠", "look": "👁️", "show": "👁️",
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  "draw": "🎨", "paper": "📝", "notebook": "📓", "board": "📋",
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  "number": "🔢", "count": "🔢", "answer": "✅", "sort": "🗂️",
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  "match": "🔗", "circle": "⭕", "plant": "🌱", "seed": "🌰",
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+ "water": "💧", "animal": "🐾", "picture": "🖼️", "image": "🖼️", "photo": "🖼️",
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+ "partner": "👥", "find": "🔍", "search": "🔍", "observe": "🔭",
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+ "measure": "📐", "ruler": "📏", "line": "📏",
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+ "record": "📊", "bar": "📊", "label": "🏷️",
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+ "colour": "🖌️", "color": "🖌️", "paintbrush": "🖌️",
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+ "cut": "✂️", "touch": "👆", "quiet": "🤫", "ready": "✅", "check": "✅",
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+ "open": "📂", "put": "📌", "place": "📌", "sit": "🪑", "chair": "🪑",
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+ "carpet": "🪑", "desk": "🪑",
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  "science": "🔬", "maths": "➕", "english": "📚",
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+ # people / social
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+ "people": "👥", "two_people": "👥", "two-people": "👥", "friend": "👥",
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+ "group": "👥", "class": "🏫", "classroom": "🏫", "pairs": "👥", "share": "👥",
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+ # speech / thought
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+ "pause": "⏸️", "ear": "👂", "speak": "🗣️", "discussion": "🗣️",
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+ "buzz": "🗣️", "feedback": "💬", "speech_bubble": "💬", "speech-bubble": "💬",
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+ "thought": "💭", "thought-bubble": "💭", "thought_bubble": "💭",
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+ # writing tools
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+ "marker": "🖊️", "pen": "🖊️", "highlighter": "🖊️", "eraser": "✏️",
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+ "edit": "✏️", "underline": "📝", "sentence": "📝", "word": "📝",
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+ "text": "📝", "paragraph": "📝", "title": "📝", "story": "📖",
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+ # maths
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+ "math": "➕", "equation": "➕", "plus": "➕", "add": "➕", "addend": "➕",
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+ "divide": "➗", "calculator": "🔢", "blocks": "🧱", "build": "🧱",
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+ "model": "🧱", "pattern": "🔢", "seven": "7️⃣",
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+ # organising / tasks
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+ "select": "👆", "choose": "👆", "pick": "👆",
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+ "folder": "📁", "task": "📋", "tasks": "📋", "list": "📋", "work": "📋",
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+ "fact": "📋", "options": "📋", "details": "📋", "rules": "📋",
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+ "examples": "📋", "problem": "📋", "compare": "🔗", "checklist": "✅",
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+ "solve": "✅", "questions": "❓", "question": "❓",
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+ # ideas / feedback
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+ "idea": "💡", "lightbulb": "💡", "decision": "💡",
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+ # time / waiting
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+ "wait": "⏳", "clock": "⏰", "repeat": "🔁", "play": "▶️",
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+ # objects / materials
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+ "box": "📦", "materials": "📦", "coat": "🧥", "wire": "🔌",
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+ "cup": "🥛", "spoon": "🥄", "beaker": "🧪", "thermometer": "🌡️",
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+ "worksheet": "📝", "homework": "📝", "exercise": "📝",
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+ # nature / misc
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+ "tree": "🌳", "blueberry": "🫐", "nightshade": "🌿", "garden": "🌱",
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+ "cloud": "☁️", "fire": "🔥", "lightning": "⚡", "explosion": "💥",
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+ "light": "💡", "breathe": "🌬️", "matter": "🔬",
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+ # feedback / emotion
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+ "thumb": "👍", "happy": "😊", "heart": "❤️",
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+ # navigation
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+ "door": "🚪", "broken": "❌", "close": "❌",
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+ # misc
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+ "marble": "⚪", "period": "📝", "photo": "🖼️",
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  }
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  def get_emoji(icon):
 
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  # Load model on first call (inside GPU context)
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  if model is None:
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  from unsloth import FastModel
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+ global model, tokenizer
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  model, tokenizer = FastModel.from_pretrained(
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  model_name=MODEL_ID,
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  max_seq_length=512,